Abstract:Among parents of 2,582 children (ages 4-17 years old) with autism spectrum disorder (ASD), we used latent class analysis to identify subgroups and profiles of treatment users and included annual household income in the specification of the models, then described characteristics of each subgroup. Based on three indicators of fit (Akaike's Information Criterion, Bayesian Information Criterion, and Lo-Mendell-Rubin), six latent classes of treatment users emerged. Subgroups included users of: (a) mostly private an… Show more
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